Clocknext - Pricing and Billing Infrastructure for AI Agents
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Clocknext is a billing and monetization platform for AI-native apps and agents. It’s tailored for AI founders, revenue, and engineering teams, to track AI usage from your product in real time, turn it into billable metrics with flexible pricing plans, and monitor costs, margins, and profitability at every level.
Replies
Congrats on the launch, @vijayanandkailash
AI billing has been a real pain and Clocknext made it simple for us. 🚀
@shivaraj_s Glad to have you as one of our early adopters. The use cases that we solve for Facilio pushes us to go deeper and attribute the nuances of how agents runs, and turn every AI usage in to accurate billing.
Margins per customer is the metric most AI apps don't have until it's too late. How do you handle a single user action that fans out to several model calls with different providers, do you attribute the combined cost back to that one action or does it show up as separate line items?
@galdayan Exactly, Gal. A lack of visibility into margins per customer can hurt, especially when expensive models and high usage numbers are in play!
Clocknext solves this by handing complete control over how each user action is monetized.
Raw usage is captured in real time as signals.
You can create entitlements like credits, outcomes, and more, and define exactly how the customer's signal should be monetized, what models are being used, and what margins go along with each of them.
So regardless of what model or what provider a user runs, you make margins.
On top of that, cost attribution comes back to you as a single line item when you combine it as an outcome or composite. You can also bill them as separate line items by keeping them as individual entitlements.
@vijayanandkailash @arundesigns Thank you, Arun! That's a great question, because it's a dull pain that founders hardly recognise until it eats into their revenue.
Some strong trigger points we've seen with AI founders that push them towards a solution:
Current solutions in the market are still traditional, where they realise that they're trying to fit the product's pricing strategy to the tool, rather than the other way around, where the tool supports the ideal pricing strategy
In-house billing setups they have, become increasingly troublesome to maintain and scale as they onboard customers
Founders have no clue whether a customer they've signed is actually making them money until the end of the month, when they may have already lost revenue
Vijay is back with a banger, congrats to the whole team on launch. Do good.